Automation index
How much of a SAP specialist’s job can AI already do?
A customising and a report come earlier. Payroll coming out on the 30th does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
SAP specialist
25%
AI can already do 25% of this job.
#224 / 633
View rankingSAP specialist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Customising, specs and module tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Integrations, IDocs and interface faults.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Key user, training and resistance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Go-lives and windows.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Documentation, authorisations and audit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not leaving a company unable to invoice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Customising, specs and module tests
- Integrations, IDocs and interface faults
- Key user, training and resistance
- Go-lives and windows
- Documentation, authorisations and audit
- Not leaving a company unable to invoice
- especialista sap
- consultor sap
- erp specialist
Sources for this job· O*NET 15-1211.00· ESCO/ISCO 2511
IS WORK OVER?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635